Saudi Arabia Artificial Intelligence (AI) in Diagnostics Market Analysis

Saudi Arabia Artificial Intelligence (AI) in Diagnostics Market Analysis


$ 3999

Saudi Arabia's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $17 Mn in 2022 to $204.9 Mn by 2030, registering a CAGR of 36.5% during the forecast period of 2022-2030. The market will be driven by the increased need for efficient and accurate diagnostic tools and investments in healthcare infrastructure by the government. The market is segmented by component & by diagnosis. Some significant players include IBM Watson Health, Siemens Healthineers & Philips Healthcare.

ID: IN10SADH002 CATEGORY: Digital Health GEOGRAPHY: Saudi Arabia AUTHOR: Vidhi Upadhyay

Buy Now

Saudi Arabia Artificial Intelligence (AI) in Diagnostics Market Executive Summary

Saudi Arabia's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $17 Mn in 2022 to $204.9 Mn by 2030, registering a CAGR of 36.5% during the forecast period of 2022-2030. Saudi Arabia features a hybrid public-private healthcare system that provides high-quality care. Moreover, the government's Ministry of Health provides around 60% of services. Diabetes, respiratory illness, cardiovascular disease, and cancer account for more than 80% of all NCD-related premature deaths worldwide. NCDs account for 73% of all fatalities in Saudi Arabia.

Although the use of AI in diagnostics is still in its early stages in Saudi Arabia, there were various initiatives and collaborations happening to encourage the adoption of these technologies. The use of AI-based diagnostic tools is projected to rise in the future as awareness and knowledge of their potential advantages improve. In 2020, Saudi Arabia has unveiled its National Strategy for Data and AI (NSDAI), which seeks to make the kingdom a worldwide leader in AI by 2030.

In February 2023, Digital Diagnostics, the founder of the first-ever FDA-cleared, fully autonomous AI system for the diagnosis of diabetic retinopathy, announced a strategic alliance with Tamer Healthcare, an integrated healthcare and wellness firm with over 100 years of established business in the Kingdom of Saudi Arabia, to further enhance healthcare and innovation in the Kingdom of Saudi Arabia.

saudi arabia artificial intelligence in diagnostics market

Market Dynamics

Market Growth Drivers

The increased need for efficient and accurate diagnostic tools has led to the use of AI-powered diagnostics systems. The Saudi healthcare business is also facing a dearth of competent healthcare experts, making AI an appealing solution to this problem. Furthermore, the Saudi government has made significant investments in healthcare infrastructure, which has expanded the availability of healthcare services and resulted in the spread of AI-powered diagnostic tools.

Market Restraints

The high cost of deploying AI technology might be an impediment for some healthcare providers that do not have the financial means to invest in these systems. Moreover, some healthcare professionals and patients lack faith in AI systems. Some healthcare professionals are hesitant to rely completely on AI-powered diagnostic systems and prefer traditional techniques, which may restrict the system's adoption. The legal environment for AI-powered diagnostics in Saudi Arabia is still growing, which may generate uncertainty and hinder the implementation of these technologies.

Competitive Landscape

Key Players

  • IBM Watson Health
  • Siemens Healthineers
  • Philips Healthcare
  • GE Healthcare
  • Google Health
  • AliveCor, Inc.

Healthcare Policies and Regulatory Landscape and Reimbursement Scenario

The Saudi Food and Drug Authority (SFDA) is the government organization in Saudi Arabia that oversees medicines and medical devices. The Ministry of Health (MOH) is the primary government institution in charge of providing preventative, curative, and rehabilitative healthcare to the Kingdom's people. The Ministry of Health offers primary healthcare (PHC) services throughout the Kingdom through a network of healthcare centers. It also employs a referral system to offer curative treatment for all members of society, ranging from general practitioners at health centers to advanced technology specialist/curative services delivered through a diverse network of general and specialty hospitals. The MOH is also in charge of overseeing and monitoring the private sector's healthcare-related operations.

1. Executive Summary
1.1 Digital Health Overview
1.2 Global Scenario
1.3 Country Overview
1.4 Healthcare Scenario in Country
1.5 Digital Health Policy in Country
1.6 Recent Developments in the Country

2. Market Size and Forecasting
2.1 Market Size (With Excel and Methodology)
2.2 Market Segmentation (Check all Segments in Segmentation Section)

3. Market Dynamics
3.1 Market Drivers
3.2 Market Restraints

4. Competitive Landscape
4.1 Major Market Share

4.2 Key Company Profile (Check all Companies in the Summary Section)

4.2.1 Company
4.2.1.1 Overview
4.2.1.2 Product Applications and Services
4.2.1.3 Recent Developments
4.2.1.4 Partnerships Ecosystem
4.2.1.5 Financials (Based on Availability)

5. Reimbursement Scenario
5.1 Reimbursement Regulation
5.2 Reimbursement Process for Diagnosis
5.3 Reimbursement Process for Treatment

6. Methodology and Scope

Artificial Intelligence (AI) in Diagnostics Market Segmentation

  • By Component Outlook Type (Revenue, USD Billion):
    • Software
    • Hardware
    • Services
  • By Diagnosis Outlook Type (Revenue, USD Billion):
    • Cardiology
    • Oncology
    • Pathology 
    • Radiology
    • Chest and Lung
    • Neurology
    • Others

Methodology for Database Creation

Our database offers a comprehensive list of healthcare centers, meticulously curated to provide detailed information on a wide range of specialties and services. It includes top-tier hospitals, clinics, and diagnostic facilities across 30 countries and 24 specialties, ensuring users can find the healthcare services they need.​

Additionally, we provide a comprehensive list of Key Opinion Leaders (KOLs) based on your requirements. Our curated list captures various crucial aspects of the KOLs, offering more than just general information. Whether you're looking to boost brand awareness, drive engagement, or launch a new product, our extensive list of KOLs ensures you have the right experts by your side. Covering 30 countries and 36 specialties, our database guarantees access to the best KOLs in the healthcare industry, supporting strategic decisions and enhancing your initiatives.

How Do We Get It?

Our database is created and maintained through a combination of secondary and primary research methodologies.

1. Secondary Research

With many years of experience in the healthcare field, we have our own rich proprietary data from various past projects. This historical data serves as the foundation for our database. Our continuous process of gathering data involves:

  • Analyzing historical proprietary data collected from multiple projects.
  • Regularly updating our existing data sets with new findings and trends.
  • Ensuring data consistency and accuracy through rigorous validation processes.

With extensive experience in the field, we have developed a proprietary GenAI-based technology that is uniquely tailored to our organization. This advanced technology enables us to scan a wide array of relevant information sources across the internet. Our data-gathering process includes:

  • Searching through academic conferences, published research, citations, and social media platforms
  • Collecting and compiling diverse data to build a comprehensive and detailed database
  • Continuously updating our database with new information to ensure its relevance and accuracy

2. Primary Research

To complement and validate our secondary data, we engage in primary research through local tie-ups and partnerships. This process involves:

  • Collaborating with local healthcare providers, hospitals, and clinics to gather real-time data.
  • Conducting surveys, interviews, and field studies to collect fresh data directly from the source.
  • Continuously refreshing our database to ensure that the information remains current and reliable.
  • Validating secondary data through cross-referencing with primary data to ensure accuracy and relevance.

Combining Secondary and Primary Research

By integrating both secondary and primary research methodologies, we ensure that our database is comprehensive, accurate, and up-to-date. The combined process involves:

  • Merging historical data from secondary research with real-time data from primary research.
  • Conducting thorough data validation and cleansing to remove inconsistencies and errors.
  • Organizing data into a structured format that is easily accessible and usable for various applications.
  • Continuously monitoring and updating the database to reflect the latest developments and trends in the healthcare field.

Through this meticulous process, we create a final database tailored to each region and domain within the healthcare industry. This approach ensures that our clients receive reliable and relevant data, empowering them to make informed decisions and drive innovation in their respective fields.

To request a free sample copy of this report, please complete the form below.


We value your inquiry and offer free customization with every report to fulfil your exact research needs.


Last updated on: 08 June 2023
Updated by: Anish Swaminathan

Related reports (by category)


Related reports (by geography)


subscribe to our newsletter
up